Brockley AI exposes only 2 introspection tools (_list_api_tools, _describe_api_tool) that are meta-tools for discovering other API tools dynamically. Both tools have adequate descriptions (60-90 chars) and properly typed input schemas with required fields. However, the actual API tools being discovered are NOT visible in the provided source code, only the introspection mechanism is shown. This means we cannot evaluate the quality of the tools that agents will actually use. The two visible tools themselves are narrow in scope (read-only discovery), lack output schema documentation, and lack error handling guidance. Since only introspection tools are visible and the real tool definitions are dynamic/hidden, the overall definition quality score reflects only these two meta-tools, which are functional but minimal.

• Document the output schema for both introspection tools. Specify that _list_api_tools returns {endpoints: string[]} and _describe_api_tool returns {method: string, path: string, schema: object, description: string}.
• Add error handling guidance: 'If api_tool_id is not found, call _list_api_tools with no arguments to discover available tools.' This guides LLM recovery.
• Expand tool descriptions to explain the discovery workflow: '_list_api_tools shows available endpoints for an API; call this first, then _describe_api_tool to get full schema for a specific endpoint.'
• Add constraints to api_tool_id parameter: document expected format (e.g., 'alphanumeric, dash-separated') and provide an example like 'stripe-payments'.
• Provide sample output in a separate documentation file (not in descriptions) so LLMs understand response structure without hallucinating fields.